ABOUT THE ROLE:
The RL infrastructure team is looking for an engineer to help develop our RL training framework.
RESPONSIBILITIES:
- Design and implement the systems backing all RL workloads at SpaceXAI, from small scale ablations to production training runs.
- Profile, debug, and optimize end-to-end training performance
- Improve scalability and observability of the RL stack
BASIC QUALIFICATIONS:
- Experience building, debugging, and optimizing efficiency of large-scale distributed systems
- Comfortable diving into unfamiliar areas and solving problems at all levels of the stack
- Proficiency in Python, Jax, Rust, and/or C++
PREFERRED SKILLS AND EXPERIENCE:
- Experience with large scale LLM training infrastructure
- Strong knowledge of reinforcement learning techniques
- Experience with RL numerics
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
